{"id":"W1967302594","doi":"10.5558/tfc81691-5","title":"Integrating climate change adaptation into forest management","year":2005,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Reforestation; Climate change; Vulnerability (computing); Forest management; Adaptation (eye); Environmental resource management; Ecoforestry; Forest ecology; Business; Climate change adaptation; Forest restoration; Ecosystem; Geography; Forestry; Environmental science; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00280757,0.0003817025,0.0001811742,0.000758558,0.001510342,0.002923233,0.0004291201,0.001614194,0.008466185],"category_scores_gemma":[0.003166772,0.0001224106,0.0002851684,0.000786675,0.001050102,0.002628453,0.002246439,0.001673395,0.0006140692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636515,"about_ca_system_score_gemma":0.007030223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03166214,"about_ca_topic_score_gemma":0.1039041,"domain_scores_codex":[0.9987794,0.0005595144,0.00005312556,0.00005526049,0.0002933499,0.0002593558],"domain_scores_gemma":[0.9983194,0.0005614419,0.0001867897,0.00009102179,0.0004709149,0.0003702473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005416407,0.0003161649,0.03978439,0.000923408,0.00008716543,0.0002245268,0.005327191,0.01510704,0.001915346,0.1050689,0.2118422,0.6193495],"study_design_scores_gemma":[0.00001127024,0.0001264559,0.0565991,0.0009712207,0.00002806501,0.0001239632,0.005257783,0.003016411,0.0005358861,0.06560375,0.867668,0.00005816397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05457565,0.04932701,0.02757778,0.393139,0.00519911,0.0006739845,0.001355639,0.0003823927,0.4677694],"genre_scores_gemma":[0.739644,0.09839015,0.04814462,0.03387813,0.005800442,0.00108531,0.001756467,0.0001066699,0.07119418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03166214,"threshold_uncertainty_score":0.06295568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042270973620356,"score_gpt":0.2530550565657824,"score_spread":0.2326323468295789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}